Arcturus: A Cloud Overlay Network for Global Accelerator with Enhanced Performance and Stability
Matthew Yang Liu, Chuang Chen, Pengcheng Lv, Hui Guo, Yanan Zhang, Cong Wang, Yusen Li, Zhenyu Li, Yu-Chu Tian

TL;DR
Arcturus is a cloud-native global accelerator framework that dynamically leverages multiple cloud providers to enhance performance, reduce costs, and improve stability for real-time applications.
Contribution
It introduces a novel two-plane design for flexible, efficient, and scalable global acceleration across heterogeneous cloud resources.
Findings
Outperforms commercial GA services by up to 1.7X in performance
Reduces costs by 71% compared to existing solutions
Maintains over 80% resource efficiency at scale
Abstract
Global Accelerator (GA) services play a vital role in ensuring low-latency, high-reliability communication for real-time interactive applications. However, existing GA offerings are tightly bound to specific cloud providers, resulting in high costs, rigid deployment, and limited flexibility, especially for large-scale or budget-sensitive deployments. Arcturus is a cloud-native GA framework that revisits the design of GA systems by leveraging low-cost, heterogeneous cloud resources across multiple providers. Rather than relying on fixed, high-end infrastructure, Arcturus dynamically constructs its acceleration network and balances performance, stability, and resource efficiency. To achieve this, Arcturus introduces a two-plane design: a forwarding plane that builds a proxy network with adaptive control, and a scheduling plane that coordinates load and routing through lightweight,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDistributed and Parallel Computing Systems · Particle Detector Development and Performance
